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Data Jobs in Springdale, AR (NOW HIRING)

R3 Tek

Data Scientist

Bentonville, AR

Greetings, Role: Sr. Data Scientist Location: Sunnyvale, CA/ Bentonville, AR Duration: Long Term Essential skills: Strong problem-solving skills with an emphasis on product development. Experience ...

Rightech

Data Technician

Lowell, AR

RIGHTECH is a leading nationwide provider of technical staffing services, and we are currently seeking qualified candidates for a 100% Travel Data Technician starting ASAP. Job Title: Data Technician ...

Rightech

Data Technician

Lowell, AR · On-site

RIGHTECH is a leading nationwide provider of technical staffing services, and we are currently seeking qualified candidates for a 100% Travel Data Technician starting ASAP. Job Title: Data Technician ...

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Data Engineer Location: Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and building scalable data pipelines, collaborating with AI developers, and ensuring data quality and ...

Redolent, Inc.

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Data Engineer Bentonville, AR Tech and functional Skill: * Must have - Good knowledge of developing and maintaining Python and Pyspark Code. * Good understanding of data communication pipelines with ...

Bespoke Labs

Data Engineer

Springdale, AR · On-site

$101K - $121K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Fayetteville, AR · On-site

$107K - $129K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Walmart

Senior Data Steward

Bentonville, AR · On-site

$92K - $130K/yr

Senior Data Steward Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Performs technical problem formulation including analytics/big data analytics / automation techniques and methods ...

Walmart

Data Analyst II

Greenland, AR · On-site

$70K - $130K/yr

The (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying ...

Walmart

Data Analyst II

Rogers, AR · On-site

$70K - $130K/yr

The (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying ...

Walmart

Data Analyst II

Cave Springs, AR · On-site

$70K - $130K/yr

The (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying ...

Walmart

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

The (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying ...

Walmart

Data Analyst II

Fayetteville, AR · On-site

$70K - $130K/yr

The (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying ...

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All JobsData JobsData Jobs in Springdale, AR

Data information

See Springdale, AR salary details

$40.7K

$145.9K

$215.3K

How much do data jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data in Springdale, AR is $145,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,100.00 and $150,300.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Springdale, AR? The most popular types of Data jobs in Springdale, AR are:
What job categories do people searching Data jobs in Springdale, AR look for? The top searched job categories for Data jobs in Springdale, AR are:
What cities near Springdale, AR are hiring for Data jobs? Cities near Springdale, AR with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Springdale, AR as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,932 per year, or $70.2 per hour.

Google Cloud Platform Data Engineer

PY DATA, INC.

Bentonville, AR • On-site

$97K - $117K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Google Cloud Platform Data Engineer

Hybrid Bentonville, AR

6 months Contract to Hire (CTH)

Must haves:
Google Cloud Platform Data Engineering

KEY RESPONSIBILITIES

  • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform Dataflow
  • Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
  • Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
  • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
  • Manage and optimize Cloud Composer DAGs and pipeline orchestration
  • Implement data quality monitoring, alerting, and lineage tracking
  • Participate in data platform architecture decisions and documentation

REQUIRED QUALIFICATIONS

  • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
  • Hands-on experience with Apache Airflow for pipeline orchestration
  • Proficiency in Apache Spark for large-scale data processing
  • Strong SQL skills including complex query optimization and BigQuery-specific capabilities
  • Experience with Google Cloud Platform data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
  • Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS

  • Google Cloud Platform Professional Data Engineer certification
  • Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
  • Familiarity with real-time streaming (Kafka, Dataflow/Flink)
  • Retail or large-scale consumer data experience

Apply